NVIDIA is seeking a highly motivated Hardware Engineer to join our multifaceted and fast-paced Silicon Solutions Group! Artificial intelligence is changing the world significantly, starting with the technologies used in our day to day lives, cars we drive, autonomous machines in agriculture farms & factories, smart cities and science & technology development activities. GPUs are providing spectacular speed ups to scientific and medical research, enabling the advancement of humanity like never before. There has never been a more exciting time to work in NVIDIA.
As part of the Silicon Solutions Team, we architect and deliver groundbreaking solutions for productizing NVIDIA's chips into consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch & design expectations, finalize product specifications, develop productization techniques and infrastructure around it is our day to day work. Dealing with challenges of the brand-new process node technologies is also included in the work profile.
What you will be doing:Work as a Silicon Low Power engineer for NVIDIA's chips, implementing new features using innovative techniques to improve energy efficiency.
Perform test case execution, debug silicon issues related to correlation and functionality, generate high quality results and provide design feedback.
Find creative solutions to complex silicon and system level problems and be on the frontline to lead show-stopper bugs, in order to enable product shipment.
Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, product managers, sales, and operations in a dynamic & high-energy work environment to bring industry-defining products to market.
Collaborate with cross-functional teams to craft essential next generation product features that are important for performance, power optimization, and power management.
Collaborate to craft tools for post-silicon work, build post-silicon methodologies to characterize silicon power features, correlate silicon behavior with simulations.
What we need to see:
BS with 5 years or MS with 3+ years of proven ability in the area of silicon characterization and productization
Excellent problem solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred.
Hands-on experience with silicon bring-up, power saving mechanisms and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ).
Deep understanding of system level interaction between Hardware-Software-Firmware, and Power optimization techniques, methods, power analysis and tools for data analysis and statistics.
Exposure to Windows, Linux based Low Power states and Silicon Power behavior, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms.
Background with debugging of HW-SW co-designed Low-power features is highly desirable.
Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
